• DocumentCode
    2230066
  • Title

    3D underwater topography rebuilding based on single beam sonar

  • Author

    Yinbin Guo

  • Author_Institution
    Fujian Provincial Key Lab. of Brain-Like Intell. Syst., Xiamen Univ., Xiamen, China
  • fYear
    2013
  • fDate
    5-8 Aug. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper we rebuild the 3D underwater topography of an experimental pool using single beam sonar. Compared with other sensors like multi-beam sonar and some other optical devices single beam sonar is cheap and small. And we choose the open source 3D model and animation software Blender as our modeling platform. In our experiment the sonar follows a straight line to get 2D slices of the underwater environment and then we combine these 2D slices together to get the 3D point cloud. Then we use several filters and segmentation methods to process the 3D point cloud to make it smooth. Finally we build the underwater model based on the processed 3D point cloud using the covering method we created, which comes from the idea that when you cover a table with a moldable table cloth, the table cloth will be in the shape of the table. We carry out the experiment in two different underwater places in an experimental pool. The experimental results show that the covering method can build models with reliable shapes and sizes.
  • Keywords
    data acquisition; image reconstruction; image segmentation; sonar imaging; three-dimensional displays; 3D point cloud; 3D underwater topography rebuilding; animation software; covering method; open source 3D model; single beam sonar; Data acquisition; Laser beams; Shape; Solid modeling; Sonar; Surfaces; Three-dimensional displays; Sonar signal processing; Underwater 3D model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
  • Conference_Location
    KunMing
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2013.6664031
  • Filename
    6664031